Benedikt Kirchner

1.6k total citations
43 papers, 1.0k citations indexed

About

Benedikt Kirchner is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Benedikt Kirchner has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 24 papers in Cancer Research and 8 papers in Immunology. Recurrent topics in Benedikt Kirchner's work include MicroRNA in disease regulation (23 papers), Extracellular vesicles in disease (17 papers) and Cancer-related molecular mechanisms research (11 papers). Benedikt Kirchner is often cited by papers focused on MicroRNA in disease regulation (23 papers), Extracellular vesicles in disease (17 papers) and Cancer-related molecular mechanisms research (11 papers). Benedikt Kirchner collaborates with scholars based in Germany, Switzerland and United States. Benedikt Kirchner's co-authors include Michael W. Pfaffl, Gustav Schelling, Dominik Buschmann, Marlene Reithmair, Irmgard Riedmaier, Florian Brandes, Ortrud K. Steinlein, Stefanie Hermann, Michael Bonin and Christine Wurmser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Benedikt Kirchner

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benedikt Kirchner Germany 17 689 502 138 66 63 43 1.0k
Xingwei Jiang China 15 559 0.8× 286 0.6× 353 2.6× 95 1.4× 49 0.8× 36 940
Liang Wu China 18 564 0.8× 478 1.0× 221 1.6× 124 1.9× 45 0.7× 59 1.1k
Mari Palviainen Finland 11 468 0.7× 234 0.5× 83 0.6× 16 0.2× 26 0.4× 29 649
Yan Shen United States 15 642 0.9× 171 0.3× 104 0.8× 60 0.9× 50 0.8× 36 988
John Cardone United Kingdom 8 545 0.8× 504 1.0× 392 2.8× 208 3.2× 70 1.1× 17 1.2k
Xiaoqun Zheng China 14 270 0.4× 127 0.3× 134 1.0× 160 2.4× 17 0.3× 68 705
Yao Lei China 12 386 0.6× 199 0.4× 78 0.6× 92 1.4× 9 0.1× 33 665
Xiaobo Huang China 18 353 0.5× 81 0.2× 272 2.0× 67 1.0× 64 1.0× 39 906
Christian Gülly Austria 11 404 0.6× 159 0.3× 42 0.3× 52 0.8× 64 1.0× 17 837

Countries citing papers authored by Benedikt Kirchner

Since Specialization
Citations

This map shows the geographic impact of Benedikt Kirchner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benedikt Kirchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benedikt Kirchner more than expected).

Fields of papers citing papers by Benedikt Kirchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benedikt Kirchner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benedikt Kirchner. The network helps show where Benedikt Kirchner may publish in the future.

Co-authorship network of co-authors of Benedikt Kirchner

This figure shows the co-authorship network connecting the top 25 collaborators of Benedikt Kirchner. A scholar is included among the top collaborators of Benedikt Kirchner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benedikt Kirchner. Benedikt Kirchner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hartung, Franziska, Sonja Schindela, Veronika Mussack, et al.. (2024). Extracellular vesicle miRNAs drive aberrant macrophage responses in NSAID‐exacerbated respiratory disease. Allergy. 79(7). 1893–1907. 8 indexed citations
2.
Mussack, Veronika, et al.. (2024). Growth behavior and mRNA expression profiling during growth of IPEC-J2 cells. BMC Research Notes. 17(1). 154–154. 1 indexed citations
3.
Braun, Frank, Christina Ludwig, Chen Meng, et al.. (2024). Extracellular vesicles secreted by 3D tumor organoids are enriched for immune regulatory signaling biomolecules compared to conventional 2D glioblastoma cell systems. Frontiers in Immunology. 15. 1388769–1388769. 12 indexed citations
4.
Brandes, Florian, Agnes S. Meidert, Benedikt Kirchner, et al.. (2024). A pipeline for the development and analysis of extracellular vesicle-based transcriptomic biomarkers in molecular diagnostics. Molecular Aspects of Medicine. 97. 101269–101269. 9 indexed citations
5.
Brandes, Florian, Benedikt Kirchner, Matthias Klein, et al.. (2023). Extensive blood transcriptome analysis reveals cellular signaling networks activated by circulating glycocalyx components reflecting vascular injury in COVID-19. Frontiers in Immunology. 14. 1129766–1129766. 9 indexed citations
6.
Brandes, Florian, Annekathrin M. Keiler, Benedikt Kirchner, et al.. (2023). Extracellular Vesicles and Endocannabinoid Signaling in Patients with COVID-19. Cannabis and Cannabinoid Research. 9(5). 1326–1338. 2 indexed citations
8.
Mussack, Veronika, et al.. (2022). A panel of blood-derived miRNAs with a stable expression pattern as a potential pan-cancer detection signature. Frontiers in Molecular Biosciences. 9. 1030749–1030749.
9.
Meidert, Agnes S., Dominik Buschmann, Florian Brandes, et al.. (2021). Molecular RNA Correlates of the SOFA Score in Patients with Sepsis. Diagnostics. 11(9). 1649–1649. 4 indexed citations
10.
Hermann, Stefanie, Florian Brandes, Benedikt Kirchner, et al.. (2020). Diagnostic potential of circulating cell‐free microRNAs for community‐acquired pneumonia and pneumonia‐related sepsis. Journal of Cellular and Molecular Medicine. 24(20). 12054–12064. 29 indexed citations
11.
Hermann, Stefanie, et al.. (2020). Extracellular vesicle-derived microRNA biomarkers: goals and pitfalls. 2(1). 42–47. 1 indexed citations
12.
Hermann, Stefanie, Dominik Buschmann, Benedikt Kirchner, et al.. (2019). Transcriptomic profiling of cell‐free and vesicular microRNAs from matched arterial and venous sera. Journal of Extracellular Vesicles. 8(1). 1670935–1670935. 26 indexed citations
13.
Buschmann, Dominik, Benedikt Kirchner, Stefanie Hermann, et al.. (2018). Evaluation of serum extracellular vesicle isolation methods for profiling miRNAs by next‐generation sequencing. Journal of Extracellular Vesicles. 7(1). 1481321–1481321. 193 indexed citations
14.
Serr, Isabelle, Rainer W. Fürst, Martin G. Scherm, et al.. (2016). miRNA92a targets KLF2 and the phosphatase PTEN signaling to promote human T follicular helper precursors in T1D islet autoimmunity. Proceedings of the National Academy of Sciences. 113(43). E6659–E6668. 48 indexed citations
15.
Kirchner, Benedikt, et al.. (2015). Comparison of the miRNome and piRNome of bovine blood and plasma by small RNA sequencing. Biotechnology Letters. 37(6). 1165–1176. 16 indexed citations
16.
Kirchner, Benedikt, et al.. (2015). The potential of circulating extracellular small RNAs (smexRNA) in veterinary diagnostics—Identifying biomarker signatures by multivariate data analysis. SHILAP Revista de lepidopterología. 5. 15–22. 9 indexed citations
17.
Kirchner, Benedikt, Vijay Paul, Irmgard Riedmaier, & Michael W. Pfaffl. (2014). mRNA and microRNA Purity and Integrity: The Key to Success in Expression Profiling. Methods in molecular biology. 1160. 43–53. 14 indexed citations
18.
Stock, Michael, et al.. (2012). Effect of magnetic stimulation on the gene expression profile of in vitro cultured neural cells. Neuroscience Letters. 526(2). 122–127. 15 indexed citations
19.
Reiter, Martina, et al.. (2011). Quantification noise in single cell experiments. Nucleic Acids Research. 39(22). 9834–9834. 28 indexed citations
20.
Reiter, Martina, et al.. (2011). Quantification noise in single cell experiments. Nucleic Acids Research. 39(18). e124–e124. 34 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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